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《Journal of Anhui Agricultural Sciences》 2009-25
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Rural Electricity Consumption Demand Forecasting Based on Support Vector Machine

ZHAO Wan-ming et al(College of Electronic Information Engineering,Southwest Petroleum University,Nanchong,Sichuan 637001)  
A method of rural electricity consumption demand forecasting based on support vector machine has been proposed.This method took full advantage of SVM's ability to solve the problem with nonlinear and small sample,the better generalization capability and the highter prediction accuracy were guaranteed.An example was given to testify the validity of this method.
【Fund】: 四川省应用基础研究基金项目(07J13-071)
【CateGory Index】: TM715
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【Citations】
Chinese Journal Full-text Database 2 Hits
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【Secondary Citations】
Chinese Journal Full-text Database 4 Hits
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3 ZHANG Xia, XIE Wei, WEI Wei(Logistics Eng. College, Shanghai Maritime Univ., Shanghai 200135, China);Load forecasting model for power system based on grey theory[J];Computer Aided Engineering;2007-04
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